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Lead Forward-Deployed Engineer (Data Integration)

EPAM Systems (Switzerland) GmbH Lausanne 10.11.2026 Déposer ma candidature
Empresa
EPAM Systems (Switzerland) GmbH
Lugar
Lausanne
Fecha
10.11.2026
Referencia
384277

Lead Forward-Deployed Engineer (Data Integration)

Join our team in Lausanne, Switzerland, in a hybrid working mode to design and deliver AI-native integration solutions for a major European energy trading client. This role offers the opportunity to work on high-impact initiatives involving rapid prototyping, data integration, and solution architecture. Working with advanced integration tools and alongside client stakeholders, you will help drive transformative outcomes and strengthen strategic partnerships.

Responsibilities

  • Lead client engagement on high-priority integration challenges
  • Scope AI-assisted integration prototypes
  • Build and iterate on data integration, ingestion, and transformation prototypes using MuleSoft process APIs, Fivetran, and dbt
  • Define and validate technical feasibility and architecture for innovative integration approaches
  • Lead hardening and transition of validated prototypes into standard build workflows
  • Act as a subject matter expert and senior escalation point for data integration technologies
  • Serve as the primary technical liaison for client integration and AI-related initiatives
  • Contribute reusable integration patterns and components to the AI Solution Engineering practice

Requirements

  • Overall experience of six or more years, including three or more in integration engineering
  • Experience of two or more years in forward-deployed or solution engineering roles
  • Strong proficiency in API integration development
  • Hands-on experience with Fivetran and dbt
  • Experience with Mulesoft APIs
  • Practical exposure to AI-assisted development or agent-based tooling
  • Demonstrated client-facing technical leadership capability
  • Familiarity with Anthropic Claude or Amazon Bedrock
  • English proficiency at CEFR B2 level

Nice to Have

  • Experience with Amazon Bedrock AgentCore or LangChain-based frameworks
  • Knowledge of Snowflake or ClickHouse
  • Understanding of prompt engineering principles

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